Medical examination promotion program, medical examination promotion device, and medical examination promotion method

Abstract

To cope with a mental disorder of a patient and the family of the patient in an early stage.SOLUTION: A medical examination promotion program causes a computer to function as: mental state analysis means that acquires text data that is input when a subject performs communication with another person, and analyzes whether a sign of a mental disorder is developed in the text; and alert notification determination means that, on the basis of a result of analysis of the text data, determines whether to perform a notification including an alert for encouraging the subject to have a medical examination in a medical institution.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a medical examination promotion program, a medical examination promotion device, and a medical examination promotion method. [Background technology]

[0002] In depression, a typical example of a mental illness, a device is known that defines the characteristics of depressive symptoms using spectrum data obtained from audio and video data and automatically detects the level of depression in a subject (for example, Patent Document 1). In addition, a device is known that receives a score that evaluates the momentary mood of a subject from a wearable device worn by the subject and diagnoses whether or not there is a risk of depression based on the evaluation (for example, Patent Document 2), and a measuring device is known that calculates a state value that indicates the degree of stress of a subject based on sensor information about the subject (Patent Document 3). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] U.S. Patent No. 11266338 [Patent Document 2] Korean Patent No. 2302071 [Patent Document 3] Patent No. 7006597 Summary of the Invention [Problem to be solved by the invention]

[0004] Breast cancer patients are likely to experience stress unique to breast cancer patients due to the possibility of undergoing breast removal, which has psychological significance in terms of sexuality and body image, and many patients develop adjustment disorders. In addition, many patients are unable to communicate their mental state due to concerns about the burden it places on their families, and mental illnesses are often overlooked. By the time patients become aware of their mental illness, they often have moderate to severe depressive symptoms, so early treatment is important. Meanwhile, families of patients also experience mental stress from caring for the patient and providing support in daily life, but measures to address mental illness in family members have been insufficient.

[0005] In addition, the methods described in Patent Documents 1 to 3 are all carried out with the possibility of depression in mind, such as by having the subject wear a dedicated device or by acquiring audio or video data for diagnosis. Therefore, there was no method for early detection of mental illness in family members of patients who may potentially be depressed but have limited opportunities to receive health care such as medical examinations or health technology.

[0006] Therefore, an object of the present invention is to provide an early response to mental illness in patients and their families. [Means for solving the problem]

[0007] A medical examination promotion program according to one embodiment of the present invention causes a computer to function as a mental state analysis means that acquires text data entered by a subject when communicating with others via a terminal and analyzes whether the text contains any signs of mental illness, and an alert notification determination means that determines whether to issue a notification to the subject, including an alert recommending that the subject visit a medical institution, based on the results of the analysis of the text data.

[0008] A medical examination promotion device according to another embodiment of the present invention includes a mental state analysis means for acquiring text data entered by a subject when communicating with others via a terminal and analyzing whether the text contains any signs of a mental illness, and an alert notification determination means for determining whether to issue a notification to the subject, including an alert recommending that the subject visit a medical institution, based on the analysis results of the text data.

[0009] A method for encouraging medical examinations according to another embodiment of the present invention includes a step in which a computer acquires text data entered by a subject when communicating with others via a terminal and analyzes whether the text contains any signs of a mental illness, and a step in which the computer determines, based on the results of the analysis of the text data, whether to send the subject a notification including an alert encouraging them to visit a medical institution. Effect of the Invention

[0010] According to the present invention, it is possible to address the mental illness of patients and their families at an early stage. [Brief description of the drawings]

[0011] [Figure 1] 1 is a block diagram showing a configuration of a medical consultation promotion system 1 according to an embodiment of the present invention. [Diagram 2] A flowchart showing the flow of a psychosomatic medicine consultation promotion service for patients provided by the consultation promotion system 1 according to an embodiment of the present invention. [Diagram 3] A flowchart showing the flow of the psychosomatic medicine consultation promotion service for patient families provided by the consultation promotion system 1 according to an embodiment of the present invention. [Figure 4] 1 is a diagram for explaining an alert notification determination by the medical examination promotion system 1 according to an embodiment of the present invention. [Diagram 5] FIG. 2 is a diagram showing an example of a hardware configuration when the server device 10 according to the embodiment of the present invention is realized by a computer. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Next, an embodiment of the present invention will be described in detail with reference to the drawings. Fig. 1 is a block diagram showing a configuration of a medical consultation promotion system 1 according to an embodiment of the present invention. As shown in Fig. 1, the medical consultation promotion system 1 includes a server device (information processing device) 10, a patient terminal 20, a family terminal 30, a medical staff terminal 40, and a medical institution database 50. The server device 10 is connected to the patient terminal 20, the family terminal 30, the medical staff terminal 40, and the medical institution database 50 via a communication network N. The communication network N may be, for example, the Internet, a LAN, a dedicated line, a telephone line, an in-house network, a mobile communication network, Bluetooth (registered trademark), WiFi (Wireless Fidelity), other communication lines, or a combination thereof, and may be either wired or wireless.

[0013] The consultation promotion system 1 is a system that provides a service to, for example, a breast cancer patient and his / her family, which detects signs of mental illness in the patient and his / her family and promotes consultation with a psychosomatic medicine department. Specifically, a service is realized in which signs of mental illness in the patient and his / her family are detected and an alert is notified as necessary by linking the server device 10 with a dedicated app implemented in the terminals of the patient and the patient's family. The patient can use the service via the patient terminal 20 by registering for use of the dedicated app on his / her own terminal (user registration). The patient's family is a family member of the patient who has registered for use of the dedicated app, and may be able to register for use after receiving an invitation / approval from the patient. The dedicated app used by the patient and the family via the patient terminal 20 and the family terminal 30 may be the same, and the patient and his / her family can communicate, such as exchanging information, via the app. In addition, a doctor or nurse in the psychosomatic medicine department can refer to information on signs of mental illness in the patient or the family via the medical staff terminal 40.

[0014] The server device 10 is installed in a company or the like that provides a service to promote consultation with a psychosomatic clinic, and is a general-purpose computer that includes a control unit (processor) 11, a storage unit 12, and a communication interface 13. Each of the server devices 10 may be composed of a single computer, or may be composed of multiple computers distributed over a communication network N. The server device 10 may also be constructed on a cloud.

[0015] The patient terminal 20, the family terminal 30, and the medical staff terminal 40 are terminals used by the patient and the patient's family, respectively. The patient terminal 20, the family terminal 30, and the medical staff terminal 40 may be any terminal device capable of transmitting and receiving data to and from the server device 10 via the communication network N, such as a personal computer (PC), a notebook PC, a tablet terminal, a smartphone, a mobile phone, or a personal digital assistant (PDA). The patient terminal 20, the family terminal 30, and the medical staff terminal 40 each include a processor and a storage device as hardware.

[0016] Patients with breast cancer or the like can use the patient terminal 20 to communicate with other patients with the same disease, for example by chat.

[0017] A patient's family member can use the family terminal 30 to communicate, by chat or the like, with the patient and other family members who have patients with the same disease.

[0018] Medical professionals such as psychosomatic doctors and nurses can use the medical professional terminal 40 to refer to the analysis results of the mental state of the patient and the patient's family by the consultation promotion system 1. The medical professional terminal 40 may be a mobile terminal such as a smartphone that is individually owned by the doctor or nurse, or may be a terminal such as a personal computer that is installed in a medical institution and used jointly by the staff of the medical institution.

[0019] The medical institution database 50 is a database managed by medical institutions where patients with breast cancer, etc. are hospitalized or treated, and records disease information for each patient. The disease information includes breast cancer type (HER2 positive, hormone receptor positive, triple negative, hereditary), status at the time of diagnosis (initial / recurrent), stage (stage 1, 2, 3, 4), etc.

[0020] In Figure 1, the patient mental state analysis means 101, patient mental illness risk calculation means 102, family mental state analysis means 103, family mental illness risk calculation means 104, and alert notification means 105 provided in the server device 10 represent functional modules realized by the control unit 11 executing a program stored in the memory unit 12.

[0021] The patient mental state analysis means 101 acquires the contents of chat messages entered by the patient via the patient terminal 20 and the contents of text posted on an internet community site, and analyzes whether the text contains any signs of mental illness.

[0022] The patient mental illness risk calculation means 102 scores the risk of mental illness based on at least one of disease information of a patient with a specific disease, background information of the patient, information on the treatment status, and psychological information.

[0023] The family mental state analysis means 103 acquires chat contents entered by the patient's family members via the family terminal 30 and contents of texts posted on community sites on the Internet, and analyzes whether the text contains any signs of mental illness.

[0024] The family mental illness risk calculation means 104 scores the risk of mental illness based on at least one of disease information of a patient with a specific disease, background information of the patient, information on the treatment status, psychological information, and patient-family relationship information.

[0025] The alert notification determination means 105 compares the analysis results from the patient mental state analysis means 101 and the family mental state analysis means 103 and the mental illness risk scored by the patient mental illness risk calculation means 102 and the family mental illness risk calculation means 104 with accumulated data of analysis results and scores for patients who actually suffer from mental illness, and determines whether to issue a notification including an alert recommending visit to a medical institution based on the similarity with past cases of patients with mental illness.

[0026] The server device 10 also includes a patient database DB1 implemented in the storage unit 12. The patient database DB1 may be implemented in an external storage device, such as on a cloud. The patient database DB1 stores records for each patient, including the following information: (1)Patient background information Patient age and family structure (2) Treatment status information Treatment history (surgery, chemotherapy, hormone therapy, dietary therapy, counseling, etc.), supplementary treatment history (breast reconstruction, exercise therapy, dietary therapy, counseling, etc.), breast cancer treatment schedule (visits, admission and discharge, surgery, examinations, drug therapy, etc.), etc. (3) Psychological information Patients' personalities and lifestyle concerns (4) Patient and family relationship information For each patient and their family, personality, hopes for treatment, concerns about daily life, worries (medical, financial, daily life, employment, etc.)

[0027] Next, the flow of services provided to patients by the consultation promotion system 1 will be described with reference to the flowchart in Fig. 2. First, the patient mental state analysis means 101 acquires the contents of chats that a patient with breast cancer or the like has had with other patients with the same disease via the patient terminal 20, and the contents of texts posted on a patient community site on the Internet (step S101).

[0028] Next, the patient mental state analysis means 101 inputs the acquired chat contents and posted contents into the trained mental state analysis model and executes an analysis of the mental state of the patient (step S102). The mental state analysis model analyzes the text data of the chat contents and posted contents by natural language processing and judges whether or not there is an increase in negative emotions (fear, sadness, disgust, anger, etc.) in the text. For example, the judgment may be based on the number of times words expressing negative emotions appear.

[0029] Next, the patient mental illness risk calculation means 102 acquires the patient information items and calculates a score indicating the mental illness risk of the patient for each patient information item according to a certain standard (step S103). The patient information items are, for example, the following (1) to (4). (1) Disease information (obtained from 50 medical institution databases) (2) Patient background information (obtained from patient database DB1) (3) Treatment status information (obtained from patient database DB1) (4) Psychological information (obtained from patient database DB1)

[0030] Next, the alert notification determination means 105 compares the analysis results by the patient mental state analysis means 101 and the mental illness risk scored by the patient mental illness risk calculation means 102 with accumulated data of analysis results and scores for patients who actually suffer from a mental illness, and determines whether the similarity with past cases of patients with a mental illness is higher than a certain value (step S104).

[0031] If it is determined that there is a high degree of similarity with cases of past patients (YES), the notification function of the dedicated app will send an alert to the patient terminal 20 of the patient recommending that the patient consult their doctor or visit a psychosomatic clinic (step S105).

[0032] In the above embodiment, the analysis results from the patient mental state analysis means 101 and the mental illness risk scored by the patient mental illness risk calculation means 102 are used to determine whether or not there is a high degree of similarity with past cases of patients with mental illness. However, it is also possible to determine whether or not there is a high degree of similarity with past cases of patients with mental illness using either the mental state analysis results or the scored mental illness risk.

[0033] Next, the flow of services provided to the patient's family by the consultation promotion system 1 will be described with reference to the flowchart in Fig. 3. First, the family mental state analysis means 103 acquires the contents of chats that the family of a patient with breast cancer or the like has had with other patients with the same disease via the family terminal 30, and the contents of texts posted on a patient community site on the Internet (step S201).

[0034] Next, the family mental state analysis means 103 inputs the acquired chat contents and posted contents into the trained mental state analysis model and executes an analysis of the mental state of the patient's family (step S202). The mental state analysis model analyzes the text data of the chat contents and posted contents by natural language processing and judges whether or not there is an increase in negative emotions (fear, sadness, disgust, anger, etc.) in the text. For example, the judgment may be based on the number of times words expressing negative emotions appear.

[0035] Next, the family mental illness risk calculation means 104 acquires patient information items and calculates a score indicating the mental illness risk of the patient family for each patient information item according to a certain standard (step S203). The patient information items are, for example, the following (1) to (5). (1) Patient disease information (obtained from medical institution database 50) (2) Patient background information (obtained from patient database DB1) (3) Treatment status information (obtained from patient database DB1) (4) Psychological information (obtained from patient database DB1) (5) Patient-family relationship information (obtained from patient database DB1)

[0036] Next, the alert notification determination means 105 compares the analysis results by the family mental state analysis means 103 and the mental illness risk scored by the family mental illness risk calculation means 104 with the analysis results and accumulated score data for patients who actually suffer from a mental illness, and determines whether the similarity with past cases of patients with a mental illness is higher than a certain value (step S204).

[0037] If it is determined that there is a high degree of similarity with previous cases of patients (YES), the notification function of the dedicated app will send a message to the family terminal 30 of the patient's family recommending that they take a break from caring for the patient and get rest, or an alert recommending that they see a psychosomatic specialist as soon as possible (step S205).

[0038] In the above embodiment, the analysis results from the family mental state analysis means 103 and the mental illness risk scored by the family mental illness risk calculation means 104 are used to determine whether or not there is a high degree of similarity with past cases of persons suffering from mental illness. However, it is also possible to determine whether or not there is a high degree of similarity with past cases of persons suffering from mental illness using either the mental state analysis results or the scored mental illness risk.

[0039] The present invention can be effectively utilized as a service for the family including the patient by performing an analysis on both the patient and the family. FIG. 4 is a diagram for explaining the alert notification determination by the alert notification determination means 105. In the example of FIG. 4, the mental state of the patient and the family based on the similarity with past cases of patients suffering from mental illness is expressed by a score of 0 to 50 points. The higher the score, the healthier the mental state is, and a score of 10 or less is judged as "dangerous", a score of 10 to 30 is "needs attention", and a score of 30 or more is "healthy". For example, if the patient's score is 35 points and the family's score is 15 points, the patient is "healthy" but the family is "needs attention", so this family is judged to belong to the "family needs attention" area as shown in FIG. 4. For family members belonging to the "family needs attention" area, web articles about how to deal with the patient may be recommended to the family. In this way, by performing an analysis on both the patient and the family, not only an alert recommending a visit to a psychosomatic medicine department but also a service such as providing information suitable for each family member is possible.

[0040] A report summarizing the analysis results of the mental state and the scored mental illness risk for the patient or the patient's family may be linked to the patient and registered in the patient database DB1. When a psychosomatic medicine medical professional examines a patient or family, the medical professional may access the patient database DB1 via the medical professional terminal 40 and refer to the report of the analysis results of the mental state of the person being examined and the scored mental illness risk.

[0041] Also, the medical staff may be allowed to register feedback information on whether the contents of the report of the patient matched with the results of the actual examination via the medical staff terminal 40. The fed back information may be used as learning data to further learn the mental state analysis model. This can improve the accuracy of the mental state analysis model.

[0042] As described above, according to the present embodiment, by analyzing text data written by patients and their families using natural language processing, it is possible to detect signs of a subject suffering from a mental illness in their everyday life without performing measurements or examinations using a device. Therefore, it is possible to detect the mental stress of patients and their families early without any troublesome work, so it is possible to take measures before mental illnesses such as adjustment disorder and depression become severe. In addition, based on the analysis results, it is possible to make recommendations appropriate to the subject's situation, such as sending an alert to recommend early consultation at a psychosomatic clinic or recommending that the patient's family take a break from caring for the patient.

[0043] In addition, the analysis results can be viewed by the doctor in charge when the patient visits the psychosomatic medicine department, so the doctor in charge can obtain information about the patient in advance. Also, the psychosomatic medicine doctor who actually examined the patient can provide feedback on the analysis results, which can further improve the accuracy of the analysis model.

[0044] In the above embodiment, the service is described as being targeted at breast cancer patients and their families, but it is also effective for cancer patients other than breast cancer and their families. For example, other types of cancer such as lung cancer, stomach cancer, colon cancer, pancreatic cancer, prostate cancer, liver cancer, esophageal cancer, and cervical cancer may be used. In addition, the type of disease is not limited to cancer, and similar services can be provided to patients and their families with serious diseases such as diseases with long treatment periods or diseases with little information on treatment.

[0045] The present invention is also effective for normal healthy people, not just cancer patients and their families. For example, it can be used as a system to analyze chat conversations and online posts of people who are at high risk of developing mental illness, such as those who live in stressful environments, and recommend that they see a psychosomatic doctor if necessary.

[0046] The present invention is not limited to the above-described embodiment, and can be implemented in various other forms without departing from the scope of the present invention. Therefore, the above-described embodiment is merely an example in every respect, and should not be interpreted as being restrictive. For example, the order of each of the above-described processing steps can be arbitrarily changed or executed in parallel as long as no contradiction occurs in the processing content.

[0047] (Hardware configuration) 5, an example of a hardware configuration in which the server device 10 is realized by a computer 70 will be described. Note that the functions of each device can also be realized by dividing them into a plurality of devices.

[0048] As shown in FIG. 5, a computer 70 includes a processor 700, a storage device 702, an input I / F 704, a data I / F 706, a communication I / F 708, and a display device 710.

[0049] The processor 700 controls various processes in the computer 70 by executing programs stored in the storage device 702. For example, each functional unit of the server device 10, the patient terminals 20A and 20B, and the family terminals 30A and 30B can be realized by the processor 700 executing the programs stored in the storage device 702.

[0050] The storage device 702 is a storage medium such as a random access memory (RAM), etc. The RAM temporarily stores the program code of the program executed by the processor 700 and data required when the program is executed.

[0051] The storage device 702 may also be a non-volatile storage medium such as a hard disk drive (HDD) or a flash memory. The storage device 702 stores an operating system and various programs for implementing the above-mentioned configurations. The storage medium storing the various programs may be a non-transitory computer readable medium. In addition, the storage device 702 may store a table for registering various information and a DB for managing the table. Such programs and data are loaded into the storage device 702 as necessary and referred to by the processor 700.

[0052] The input I / F 704 is a device for receiving input from a user. Specific examples of the input I / F 704 include a camera, a button, a microphone, a keyboard, a mouse, a touch panel, various sensors, and a wearable device. The input I / F 704 may be connected to the computer 70 via an interface such as a Universal Serial Bus (USB).

[0053] The data I / F 706 is a device for inputting data from outside the computer 70. A specific example of the data I / F 706 is a drive device for reading data stored in various storage media. The data I / F 706 may be provided outside the computer 70. In that case, the data I / F 706 is connected to the computer 70 via an interface such as a USB.

[0054] The communication I / F 708 is a device for performing data communication with an external device of the computer 70 via the communication network 5 in a wired or wireless manner. The communication I / F 708 may be provided outside the computer 70. In that case, the communication I / F 708 is connected to the computer 70 via an interface such as a USB.

[0055] The display device 710 is a device for displaying various types of information. Specific examples of the display device 710 include a liquid crystal display, an organic EL (Electro-Luminescence) display, and a display of a wearable device. The display device 710 may be provided outside the computer 70. In that case, the display device 710 is connected to the computer 70 via, for example, a display cable. In addition, when a touch panel is adopted as the input I / F 704, the display device 710 can be configured integrally with the input I / F 704.

[0056] The components of the server device 10, the patient terminals 20A and 20B, and the family terminals 30A and 30B described in the above embodiment are assumed to realize predetermined processing in cooperation with other hardware by the processor 700 executing a program stored in the storage device 702. In other words, these components are assumed to be software or firmware, and also corresponding hardware, and in both concepts, they are also described as "functions," "means," "parts," "processing circuits," "units," or "modules," and can be interpreted as each of these.

[0057] The embodiment of the present invention can also be described as follows: (Appendix 1) Computer, a mental state analysis means for acquiring text data input by the subject when communicating with others via the terminal and analyzing whether or not a sign of a mental illness appears in the text; and a medical examination promotion program that functions as an alert notification determination means that determines whether or not to send the subject a notification including an alert encouraging the subject to visit a medical institution based on the analysis results of the text data.

[0058] (Appendix 2) The mental state analysis means The medical consultation promotion program described in Appendix 1, which uses natural language processing to analyze whether the text contains words that express negative emotions.

[0059] (Appendix 3) The alert notification determination means 3. The medical consultation promotion program described in Appendix 1 or 2, which compares the analysis results of the subject with the analysis results of patients who actually suffer from a mental illness, and determines whether or not to make the notification based on the similarity between the two.

[0060] (Appendix 4) The subject includes a patient with a specific disease and their family members.

[0061] (Appendix 5) A mental illness risk calculation means for scoring a risk of a mental illness based on at least one of disease information of a patient with the specific disease, background information of the patient, information on a treatment status, and psychological information, The alert notification determination means The medical consultation promotion program described in Appendix 4, which determines whether or not to issue the notification based on at least one of the analysis results of the text data and the scored risk of the mental illness.

[0062] (Appendix 6) a mental state analysis means for acquiring text data input by the subject when communicating with others via the terminal and analyzing whether or not a sign of a mental illness appears in the text; and an alert notification determination means for determining whether or not to send the subject a notification including an alert encouraging the subject to visit a medical institution based on the analysis results of the text data.

[0063] (Appendix 7) A step of acquiring text data input by a computer when the subject communicates with another person via the terminal, and analyzing whether or not a sign of a mental illness appears in the text; and a step of determining, by a computer, whether or not to send a notification to the subject, including an alert encouraging the subject to visit a medical institution, based on the analysis results of the text data. [Explanation of symbols]

[0064] 1. Information processing system 10. Server equipment 11...Control section 12...Storage section 13...Communication interface 20…Patient terminal 30…Family device 40...Medical staff terminal 50…Medical institution database 70…Computer 101...Methods for analyzing patient mental status 102...Method of calculating patient mental illness risk 103...Family Mental State Analysis Instrument 104...Method of calculating family mental illness risk 105...Alert notification determination means 700…processor 702...Storage device 704…Input I / F 706…Data I / F 708…Communication I / F 710…Display device

Claims

1. Computer, a mental state analysis means for acquiring text data input by the subject when communicating with others via the terminal and analyzing whether or not a sign of a mental illness appears in the text; and a medical examination promotion program that functions as an alert notification determination means that determines whether or not to send the subject a notification including an alert encouraging the subject to visit a medical institution based on the analysis results of the text data.

2. The mental state analysis means The medical consultation promotion program according to claim 1 , further comprising: analyzing whether the text contains words expressing negative emotions through natural language processing.

3. The alert notification determination means 2. The program for promoting consultation according to claim 1, further comprising: comparing the analysis results of the subject with analysis results of patients who actually suffer from a mental illness; and determining whether or not to issue the notification based on the degree of similarity between the two.

4. The medical consultation promotion program according to claim 1 , wherein the subjects include patients with a specific disease and their families.

5. A mental illness risk calculation means for scoring a risk of a mental illness based on at least one of disease information of a patient with the specific disease, background information of the patient, information on a treatment status, and psychological information, The alert notification determination means The medical consultation promotion program according to claim 4 , wherein the decision as to whether or not to issue the notification is based on at least one of the analysis results of the text data and the scored risk of the mental illness.

6. a mental state analysis means for acquiring text data input by the subject when communicating with others via the terminal and analyzing whether or not a sign of a mental illness appears in the text; and an alert notification determination means for determining whether or not to send the subject a notification including an alert encouraging the subject to visit a medical institution based on the analysis results of the text data.

7. A step of acquiring text data input by a computer when the subject communicates with another person via the terminal, and analyzing whether or not a sign of a mental illness appears in the text; and a step of determining, by a computer, whether or not to send a notification to the subject, including an alert encouraging the subject to visit a medical institution, based on the analysis results of the text data.

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